Trauma resuscitation has evolved substantially, driven by improved understanding of hemorrhagic shock, trauma-induced coagulopathy (TIC), and the physiological consequences of excessive fluid administration. This narrative review summarizes established practices, areas of ongoing uncertainty, and emerging strategies in contemporary trauma resuscitation. Relevant literature was identified through searches of PubMed, Web of Science, Scopus, and Google Scholar, and studies were selected based on their relevance, scientific quality, and contribution to the topic. Current trauma resuscitation emphasizes early hemorrhage control and damage control resuscitation, incorporating restricted crystalloid administration, balanced blood-product transfusion, permissive hypotension in appropriately selected patients, and timely correction of TIC. Whole blood has re-emerged as an important strategy for early hemostatic resuscitation, while viscoelastic hemostatic assays facilitate targeted transfusion. Early tranexamic acid administration remains an established intervention, whereas the optimal roles of fibrinogen replacement, clotting factor concentrates, vasopressors, and resuscitative endovascular balloon occlusion of the aorta remain under investigation. Increasing recognition of hypocalcemia and the importance of microcirculatory and cellular homeostasis has further broadened the scope of trauma resuscitation. Emerging approaches include precision medicine based on genomic and metabolomic profiling as well as artificial intelligence (AI) and machine learning for prediction of mortality, massive transfusion, TIC, and clinical deterioration, with potential applications in individualized decision support. Trauma resuscitation is transitioning from protocol-driven treatment toward balanced, physiology-guided, and individualized care. Further prospective and multicenter studies are required to validate emerging interventions and determine how precision medicine and AI can be safely and effectively integrated into clinical practice.
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Chandramouli et al. (2026) studied this question.
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